An attack-Resistant Reputation Management System For Mobile Ad Hoc Networks

Abstract Due to the openness and dynamics of the network topology, the mobile ad hoc network (MANET) is vulnerable to various attacks by malicious nodes. How to effectively collect trust information and select trusted relay nodes for message delivery is the focus of current research. For this reason, the reputation value is proposed to indicate the degree of trust of the node. In this paper, a reputation management system, which composed of the collection of reputation information and the calculation of reputation value, is proposed to deal with the malicious attacks and improve the network efficiency. We proposed a new trust collection mechanism to optimize the efficiency of trust information collection. A node reputation value calculation model is designed based on subjective trust and recommendation trust. Finally, simulation results demonstrate the effectiveness of this model.

[1]  Li Li,et al.  Towards a Novel Trust-Based Multicast Routing for VANETs , 2018, Secur. Commun. Networks.

[2]  Yingshu Li,et al.  Collective Data-Sanitization for Preventing Sensitive Information Inference Attacks in Social Networks , 2018, IEEE Transactions on Dependable and Secure Computing.

[3]  Kuochen Wang,et al.  Dynamic overlay multicast for live multimedia streaming in urban VANETs , 2012, Comput. Networks.

[4]  Valérie Issarny,et al.  Enhanced Reputation Mechanism for Mobile Ad Hoc Networks , 2004, iTrust.

[5]  Yang Gao,et al.  Truthful incentive mechanism with location privacy-preserving for mobile crowdsourcing systems , 2018, Comput. Networks.

[6]  Hui Xia,et al.  A Novel Recommendation-Based Trust Inference Model for MANETs , 2018, WASA.

[7]  Keshav P. Dahal,et al.  Recommendation Based Trust Model with an Effective Defence Scheme for MANETs , 2015, IEEE Transactions on Mobile Computing.

[8]  Haiying Shen,et al.  A Hierarchical Account-Aided Reputation Management System for MANETs , 2015, IEEE/ACM Transactions on Networking.

[9]  Yang Gao,et al.  An incentive mechanism with privacy protection in mobile crowdsourcing systems , 2016, Comput. Networks.

[10]  Jiguo Yu,et al.  Cost-Efficient Strategies for Restraining Rumor Spreading in Mobile Social Networks , 2017, IEEE Transactions on Vehicular Technology.

[11]  Edwin Hsing-Mean Sha,et al.  Light-weight trust-enhanced on-demand multi-path routing in mobile ad hoc networks , 2016, J. Netw. Comput. Appl..

[12]  Prasant Mohapatra,et al.  Trust Computations and Trust Dynamics in Mobile Adhoc Networks: A Survey , 2012, IEEE Communications Surveys & Tutorials.